Small-Scale Void-Size Determination in Reinforced Concrete Using GPR
The detection and evaluation of void in concrete are imperative issues in health monitoring of civil engineering. However, the void is difficult to be detected at its early stage of formation on account of its small scale and concealment. Although, in view of the remarkable performance such as preci...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/2740309 |
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| author | Yong Yang Junwei Lu Rongzhe Li Weigang Zhao Deli Yan |
| author_facet | Yong Yang Junwei Lu Rongzhe Li Weigang Zhao Deli Yan |
| author_sort | Yong Yang |
| collection | DOAJ |
| description | The detection and evaluation of void in concrete are imperative issues in health monitoring of civil engineering. However, the void is difficult to be detected at its early stage of formation on account of its small scale and concealment. Although, in view of the remarkable performance such as precision and continuity, ground penetrating radar (GPR) is widely employed in some special fields of nondestructive testing, the strong reflection of rebar which could submerge the echo of void is now a stumbling block for the application of GPR in reinforced concrete. In order to develop the tactic of small-scale void-size determination with considerable noise originated from rebar, a two-stage regression method is proposed in this study. First, a superposition model of target echoes was established to analyze the relationship between the space-time distribution and spectrum of the rebar echo and the void echo, and a curvelet transform was employed to reduce the strong reflection of the rebar. Then, the echo amplitude of small-scale void was investigated, and a regression method was put forward to determine the void size of small scale. Finally, forward simulation and experiment were carried out to verify the feasibility of the proposed method. Results demonstrated that the spectral distribution of the rebar echo is significantly higher than that of the void echo. The curvelet-based low-pass filter can effectively ensure the discrimination of void echo. The regression method performs a high-accuracy void-size determination with more than 90% in small scale. |
| format | Article |
| id | doaj-art-363f0a1f60f44bc08451f1069724bd21 |
| institution | OA Journals |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-363f0a1f60f44bc08451f1069724bd212025-08-20T02:08:15ZengWileyAdvances in Civil Engineering1687-80861687-80942020-01-01202010.1155/2020/27403092740309Small-Scale Void-Size Determination in Reinforced Concrete Using GPRYong Yang0Junwei Lu1Rongzhe Li2Weigang Zhao3Deli Yan4State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang 050043, ChinaSchool of Electrical and Electronic Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, ChinaStructure Health Monitoring and Control Institute, Shijiazhuang Tiedao University, Shijiazhuang 050043, ChinaState Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang 050043, ChinaSchool of Electrical and Electronic Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, ChinaThe detection and evaluation of void in concrete are imperative issues in health monitoring of civil engineering. However, the void is difficult to be detected at its early stage of formation on account of its small scale and concealment. Although, in view of the remarkable performance such as precision and continuity, ground penetrating radar (GPR) is widely employed in some special fields of nondestructive testing, the strong reflection of rebar which could submerge the echo of void is now a stumbling block for the application of GPR in reinforced concrete. In order to develop the tactic of small-scale void-size determination with considerable noise originated from rebar, a two-stage regression method is proposed in this study. First, a superposition model of target echoes was established to analyze the relationship between the space-time distribution and spectrum of the rebar echo and the void echo, and a curvelet transform was employed to reduce the strong reflection of the rebar. Then, the echo amplitude of small-scale void was investigated, and a regression method was put forward to determine the void size of small scale. Finally, forward simulation and experiment were carried out to verify the feasibility of the proposed method. Results demonstrated that the spectral distribution of the rebar echo is significantly higher than that of the void echo. The curvelet-based low-pass filter can effectively ensure the discrimination of void echo. The regression method performs a high-accuracy void-size determination with more than 90% in small scale.http://dx.doi.org/10.1155/2020/2740309 |
| spellingShingle | Yong Yang Junwei Lu Rongzhe Li Weigang Zhao Deli Yan Small-Scale Void-Size Determination in Reinforced Concrete Using GPR Advances in Civil Engineering |
| title | Small-Scale Void-Size Determination in Reinforced Concrete Using GPR |
| title_full | Small-Scale Void-Size Determination in Reinforced Concrete Using GPR |
| title_fullStr | Small-Scale Void-Size Determination in Reinforced Concrete Using GPR |
| title_full_unstemmed | Small-Scale Void-Size Determination in Reinforced Concrete Using GPR |
| title_short | Small-Scale Void-Size Determination in Reinforced Concrete Using GPR |
| title_sort | small scale void size determination in reinforced concrete using gpr |
| url | http://dx.doi.org/10.1155/2020/2740309 |
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